{
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\begin{tabular}{l*{4}{c}}
\hline\hline
            &\multicolumn{1}{c}{(1)}         &\multicolumn{1}{c}{(2)}         &\multicolumn{1}{c}{(3)}         &\multicolumn{1}{c}{(4)}         \\
\hline
Prefers democracy&      -0.142\sym{**} &     -0.0809\sym{*}  &      -0.122\sym{**} &     -0.0594         \\
            &    (0.0571)         &    (0.0476)         &    (0.0588)         &    (0.0519)         \\
[1em]
PP voter    &                     &                     &       0.274\sym{***}&       0.232\sym{**} \\
            &                     &                     &    (0.0946)         &    (0.0890)         \\
[1em]
Prefer dem x PP voter&                     &                     &      -0.169\sym{*}  &      -0.147         \\
            &                     &                     &    (0.0980)         &    (0.0977)         \\
\hline
Controls    &          No         &         Yes         &          No         &         Yes         \\
\hline\hline
\multicolumn{5}{l}{\footnotesize Standard errors in parentheses}\\
\multicolumn{5}{l}{\footnotesize Standard errors are clustered by municipality}\\
\multicolumn{5}{l}{\footnotesize The outcome variable is a dummy for whether each respondent used a private}\\
\multicolumn{5}{l}{\footnotesize voting booth to cast their vote in the general election of November 2019}\\
\multicolumn{5}{l}{\footnotesize Models 2 and 4 include controls for income, education, age, age squared, size of}\\
\multicolumn{5}{l}{\footnotesize respondent's municipality, and a dummy for respondents identifying as female}\\
\multicolumn{5}{l}{\footnotesize \sym{*} \(p<0.10\), \sym{**} \(p<0.05\), \sym{***} \(p<0.01\)}\\
\end{tabular}
}
